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As Indonesia accelerates decarbonization efforts to achieve Net Zero Emissions by 2060, Carbon Capture and Storage in deep saline aquifers has emerged as a critical technological pathway. This study tries to generalize a case study evaluation of the Sunda-Asri Basin’s Talang Akar Formation by determining a geomechanically constrained dynamic storage efficiency factor (Esaline) derived from published data and regional analogs, yielding a proposed systematic evaluation flowchart. Initially, a probabilistic Monte Carlo simulation was conducted as a rapid realization check, yielding a P50 theoretical static capacity of 11.96 Mt CO2, which was adjusted to 0.24 Mt after accounting for a 2% theoretical efficiency assumption. Subsequently, the initialization of a compositional 3D reservoir model yielded a theoretical storage capacity of 12.16 Mt CO2. The analytical results reveal a significant discrepancy between these static approaches, while the Monte Carlo and 3D models identify the theoretical storage ceiling, dynamic modeling strictly limits injectivity to 0.192 Mt CO2. Crucially, by evaluating the influence of geomechanics, the integration of realistic rock mechanics (Young’s Modulus and Poisson’s Ratio) to prevent induced caprock failure further curtailed the capacity to a final dynamic storage of 0.100 Mt CO2, yields a risk-averse dynamic efficiency factor of 0.82%. Extrapolating this rigorous metric to the basin’s 3 Gt theoretical capacity confirms a practical regional storage potential of 24.65 Mt CO2. Ultimately, the consistent hierarchy observed between static, dynamic, and geomechanically constrained models validates this systematic methodology as a robust generalized framework for mitigating subsurface uncertainty and advancing national strategic energy objectives.